Web Scraping of NeurIPS 2019 Conference Using Python and Selenium

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the Selenium module. INTRODUCTION: INTRODUCTION: The Conference on Neural Information Processing Systems (NeurIPS) covers a wide range of topics in neural information processing systems and research for the biological, […]

Multi-Class Deep Learning Model for CIFAR-10 Object Recognition Using Keras Take 8

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The CIFAR-10 dataset is a multi-class classification situation where we are trying to […]

Multi-Class Deep Learning Model for CIFAR-10 Object Recognition Using Keras Take 7

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The CIFAR-10 dataset is a multi-class classification situation where we are trying to […]

Web Scraping of AWS re:Invent 2019 Using Python and BeautifulSoup

SUMMARY: The purpose of this project is to practice web scraping by extracting specific pieces of information from a website. The web scraping Python code leverages the BeautifulSoup module. INTRODUCTION: The AWS re:Invent is a learning conference featuring keynote announcements, training and certification opportunities, a partner expo, and access to more than 2,500 technical sessions. […]

Multi-Class Deep Learning Model for CIFAR-10 Object Recognition Using Keras Take 6

Template Credit: Adapted from a template made available by Dr. Jason Brownlee of Machine Learning Mastery. SUMMARY: The purpose of this project is to construct a predictive model using various machine learning algorithms and to document the end-to-end steps using a template. The CIFAR-10 dataset is a multi-class classification situation where we are trying to […]